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smithrobert36

EVERYTHING YOU NEED TO KNOW ABOUT MACHINE LEARNING & FINANCE INDUSTRY - 0 views

www.globaltechcouncil.org/...hine-learning-finance-industry

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shared by smithrobert36 on 18 Mar 20 - No Cached
  • smithrobert36 on 18 Mar 20
     
    A long time ago, Greek philosopher Pythagoras had suggested that everything around us can be represented in numbers, but no one believed him then. Fast forward to today, our computers break data into numbers that help us to analyze it and make better decisions. Machine Learning (ML) has begun to play a vital role in the changing scenario of how machines are getting smarter by the day. It's also the reason why the machine learning course is in so much demand. However, in this blog post, we will discuss the relationship between machine learning and the finance industry.
smithrobert36

Accelerate Your Career With The Machine Learning Certification Expert Training - 0 views

bit.ly/2sqidPL

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shared by smithrobert36 on 04 Feb 20 - No Cached
  • smithrobert36 on 04 Feb 20
     
    This is the time to grow up your career in the IT sector. Machine Learning technology is trending all over the world. It will equip you with the most effective machine learning techniques, data mining, statistical pattern recognition, etc.
smithrobert36

How To Build A Machine Learning Pipeline? - 0 views

www.globaltechcouncil.org/...ld-a-machine-learning-pipeline

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shared by smithrobert36 on 13 Apr 20 - No Cached
  • smithrobert36 on 13 Apr 20
     
    A machine learning pipeline is used to help automate machine learning workflows. They operate by enabling a sequence of data to be transformed and correlated together in a model that can be tested and evaluated to achieve an outcome, whether positive or negative.
smithrobert36

How Is Python Used In Machine Learning? - 0 views

informationtechnologiesexpert.blogspot.com/...-Used-In-Machine-Learning.html

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shared by smithrobert36 on 08 Jan 20 - No Cached
  • smithrobert36 on 08 Jan 20
     
    A python is a great tool for the development of programs that perform data manipulation whereas R is statistical software that works on a particular format of the dataset. Python provides the various development tools which can be used to work with other systems. R has a learning curve to it.
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